> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agentbase.sh/llms.txt
> Use this file to discover all available pages before exploring further.

# Index Document

> Upload and index a document to an Agentbase datastore.

### Body Parameters

<ParamField body="file" type="file" required>
  The document file to upload and index. Supported formats include PDF, TXT,
  PNG, JPG, and more.
</ParamField>

<ParamField body="datastore_id" type="string" required>
  The ID of the datastore where the document will be indexed. You can get this
  ID from the Create Datastore endpoint.
</ParamField>

### Example Request

```bash theme={null}
curl -X POST https://api.agentbase.sh/index-document \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F "file=@./Trends_Artificial_Intelligence.pdf" \
  -F "datastore_id=ds_1234567890abcdef"
```

### Response

Returns information about the indexed document.

```json theme={null}
{
  "document_id": "doc_abcdef1234567890",
  "datastore_id": "ds_1234567890abcdef",
  "filename": "Trends_Artificial_Intelligence.pdf",
  "status": "indexed",
  "indexed_at": "2025-10-01T12:00:00Z"
}
```

### Response Fields

<ResponseField name="document_id" type="string">
  The unique identifier for the indexed document
</ResponseField>

<ResponseField name="datastore_id" type="string">
  The ID of the datastore containing the document
</ResponseField>

<ResponseField name="filename" type="string">
  The name of the uploaded file
</ResponseField>

<ResponseField name="status" type="string">
  The indexing status of the document (e.g., `indexed`, `processing`)
</ResponseField>

<ResponseField name="indexed_at" type="string">
  Timestamp of when the document was successfully indexed
</ResponseField>